CN113299042B - Safety early warning system for frequency conversion equipment of industrial electrical appliance - Google Patents
Safety early warning system for frequency conversion equipment of industrial electrical appliance Download PDFInfo
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Abstract
The invention discloses a safety early warning system for frequency conversion equipment of industrial electrical equipment, which belongs to the field of frequency conversion equipment of industrial electrical equipment and is used for solving the problem that fault conditions and abnormal conditions of the frequency conversion equipment of the industrial electrical equipment cannot be early warned and monitored during operation.
Description
Technical Field
The invention belongs to the field of frequency conversion of industrial electric appliances, relates to a safety early warning technology, and particularly relates to a safety early warning system for frequency conversion equipment of the industrial electric appliances.
Background
The frequency converter is a power control device which applies a frequency conversion technology and a microelectronic technology and controls an alternating current motor by changing the working power supply frequency mode of the motor, and mainly comprises a rectification unit, a filtering unit, an inversion unit, a braking unit, a driving unit, a detection unit, a microprocessing unit and the like, the frequency converter adjusts the voltage and the frequency of an output power supply by switching on and off an internal IGBT (insulated gate bipolar translator), and provides the required power supply voltage according to the actual requirement of the motor, thereby achieving the purposes of energy saving and speed regulation;
in the prior art, when the frequency conversion equipment of the industrial electrical equipment is in operation and has a fault or an abnormal state, people usually cannot know the fault or the abnormal state in time and do not follow the operation rule of the equipment or observe the obtained possibility precursor, so that the fault is timely forecasted before occurrence of the fault.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a safety early warning system for frequency conversion equipment of industrial electrical appliances.
The technical problem to be solved by the invention is as follows: how to carry out early warning monitoring on the fault condition and abnormal state of the industrial electrical appliance frequency conversion equipment when the industrial electrical appliance frequency conversion equipment runs.
The purpose of the invention can be realized by the following technical scheme:
a safety early warning system for industrial electrical appliance frequency conversion equipment comprises a data acquisition module, a data transmission module, an early warning monitoring module, a storage module, a quality calculation module, an alarm module, an early warning definition module, a data analysis module and a processor;
the processor sends the working data to the data analysis module, the data analysis module is used for analyzing the working data of the frequency conversion equipment, and the analysis process specifically comprises the following steps:
the method comprises the following steps: marking the frequency conversion equipment as u, u =1,2, \8230 \ 8230;, z and z are positive integers; acquiring temperature data and vibration data of the frequency conversion equipment during working in real time, and marking the temperature data as a temperature running value
Tagging vibration data as a running vibration value
x is a positive integer, ti represents a working time point;
step two: dividing the temperature values with the temperature higher than the temperature threshold value into an abnormal set;
dividing the temperature values with the temperature lower than the temperature threshold value into a normal set;
dividing the running vibration values with the vibration higher than the vibration threshold value into an abnormal set;
dividing the exercise and vibration values with the vibration lower than the vibration threshold value into a normal set;
step three: carrying out data analysis on the operation temperature value and the operation vibration value in the abnormal set, and calculating to obtain a temperature change mean JWBu and a vibration change mean JZBu of the frequency conversion equipment;
step four: the temperature change mean JWBu and the vibration change mean JZBSubstitution of u into formula
Calculating to obtain an operation value YXu of the frequency conversion equipment during working; in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both larger than zero, alpha is a compensation coefficient, and alpha is larger than 0;
the data analysis module sends the calculated operation value of the frequency conversion equipment to the early warning definition module; the early warning definition module is used for defining and judging the operation value of the frequency conversion equipment after receiving the operation value of the frequency conversion equipment;
the early warning definition module feeds back a safety early warning signal, a verification early warning signal and a monitoring early warning signal to the processor; the processor does not perform any operation when receiving the safety early warning signal; the processor sends the verification early warning signal and the monitoring early warning signal to the quality calculation module when receiving the verification early warning signal and the monitoring early warning signal; the processor is also used for sending the monitoring early warning signal to the early warning monitoring module when receiving the monitoring early warning signal;
the quality calculation module is used for calculating the quality of the frequency conversion equipment which generates the verification early warning signal and the monitoring early warning signal after receiving the verification early warning signal and the monitoring early warning signal; the quality calculation module sends an alarm signal to an alarm module; and the alarm module sends out alarm sound after receiving the alarm signal.
Furthermore, the data acquisition module is used for acquiring working data of the frequency conversion equipment during operation and transmitting the acquired working data to the processor through the data transmission module; the data transmission module is used for transmitting the working data of the frequency conversion equipment to the processor and the early warning monitoring module; the early warning monitoring module is used for monitoring the working data of the frequency conversion equipment in real time.
Further, the working data includes temperature data and vibration data of the frequency conversion equipment.
Further, the data analysis process is specifically as follows:
step S1: using formulas
Calculating to obtain the temperature change value of the frequency conversion equipment between the time point t1 and the time point t2
By analogy, the time point t of the frequency conversion equipment is obtainedi-1The value of the temperature change from time ti
The time period from the time point T1 to the time point T2 is denoted as T2, and so on, the time point Ti-1The time period to the time point Ti is marked as Ti;
step S2: counting the number of time periods, and dividing the sum of the temperature change values of each time period by the number of the time periods to obtain a temperature change mean JWBu of the frequency conversion equipment;
and step S3: similarly, the time point t of the frequency conversion equipment is obtained through calculationi-1The value of the change in vibration from time ti
Further, the early warning definition module specifically comprises the following definition judgment process:
step SS1: obtaining a temperature change mean JWBu, a vibration change mean JZBu and an operation value YXu of the frequency conversion equipment through calculation; acquiring an operation threshold value Yu corresponding to variable frequency equipment in a processor;
step SS2: calculating a difference value between the operation value of the frequency conversion equipment and an operation threshold value to obtain an operation difference value YCu;
step SS3: using a formula
Calculating to obtain a pre-bound value YJu of the frequency conversion equipment; in the formula, b1, b2 and b3 are all fixed numerical values of proportionality coefficients, and the values of b1, b2 and b3 are all larger than zero;
and step SS4: if X1 is more than YJu and less than or equal to X2, generating a safety early warning signal;
and step SS5: if X2 is more than YJu and less than or equal to X3, generating a verification early warning signal;
step SS6: if X3 is less than YJu, generating a monitoring early warning signal; wherein X1, X2 and X3 are early warning defined threshold values, and X1 is more than 0 and X2 is more than X3.
Further, the mass calculation step of the mass calculation module is specifically as follows:
step P1: acquiring the fault maintenance frequency of the frequency conversion equipment, and marking the fault maintenance frequency as Gu; acquiring the service time of the frequency conversion equipment, and marking the service time as Tu;
step P2: calculating to obtain a loss value XHu of the frequency conversion equipment by using a formula XHu = (Gu × c1+ Tu × c 2)/(c 1+ c 2), wherein c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;
step P3: the method comprises the steps that time points are taken as nodes, the temperature and vibration of time-frequency conversion equipment of each node are obtained, and a real-time temperature curve graph and a real-time vibration curve graph of the frequency conversion equipment are obtained by connection according to a time sequence; comparing the real-time temperature curve graph with a preset temperature curve graph to obtain the temperature crossing number WJu of the frequency conversion equipment; comparing the real-time vibration curve graph with a preset vibration curve graph to obtain the vibration crossing number ZJu of the frequency conversion equipment;
step P4: substituting the loss value XHu, the temperature cross number WJu and the vibration cross number ZJu of the frequency conversion equipment into a formula
Calculating to obtain a mass value ZLU of the frequency conversion equipment; in the formula, d1, d2 and d3 are all proportional coefficient fixed numerical values, the values of d1, d2 and d3 are all larger than zero, e is a natural constant, and beta is a positive number;
and step P5: if the quality value is higher than the quality threshold value, judging that the current quality of the frequency conversion equipment is qualified, and not performing any operation; and if the quality value is lower than the quality threshold value, judging that the current quality of the frequency conversion equipment is unqualified, and generating an alarm signal.
Further, the early warning monitoring module further comprises a storage module, wherein the storage module is used for storing preset working data of the frequency conversion equipment, and the preset working data comprises preset temperature data and preset vibration data; the early warning monitoring module is used for monitoring working data of the frequency conversion equipment in real time after monitoring personnel receive the monitoring early warning signal through the display terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps of analyzing working data of the frequency conversion equipment through a data analysis module to obtain a temperature operation value and a vibration operation value of the frequency conversion equipment, dividing the temperature operation value with the temperature higher than a temperature threshold value into an abnormal set, dividing the vibration operation value with the vibration higher than a vibration threshold value into the abnormal set, performing data analysis on the temperature operation value and the vibration operation value in the abnormal set, calculating to obtain a temperature change mean value and a vibration change mean value of the frequency conversion equipment, and substituting the temperature change mean value and the vibration change mean value into a formula to calculate to obtain the operation value of the frequency conversion equipment during working;
2. the method comprises the steps that a pre-warning defining module is used for defining and judging the operation value of the frequency conversion equipment, the operation threshold value corresponding to the frequency conversion equipment in a processor is obtained, the difference value between the operation value and the operation threshold value of the frequency conversion equipment is calculated to obtain the operation difference value, a formula is combined for calculation to obtain the pre-boundary value of the frequency conversion equipment, and the pre-boundary value is compared with the pre-warning defining threshold value, so that a corresponding safety pre-warning signal, a verification pre-warning signal or a monitoring pre-warning signal is generated;
3. the method comprises the steps that quality calculation is carried out on frequency conversion equipment generating an experimental early warning signal and monitoring the early warning signal through a quality calculation module, according to the fault maintenance times and the service duration of the frequency conversion equipment, a loss value of the frequency conversion equipment is calculated by combining a formula, then a real-time temperature curve graph is compared with a preset temperature curve graph to obtain the temperature crossing number of the frequency conversion equipment, a real-time vibration curve graph is compared with a preset vibration curve graph to obtain the vibration crossing number of the frequency conversion equipment, the loss value, the temperature crossing number and the vibration crossing number of the frequency conversion equipment are brought into the formula to be calculated to obtain a quality value of the frequency conversion equipment, the quality value is compared with a quality threshold value to judge whether the current quality of the frequency conversion equipment is qualified or not, if the current quality of the frequency conversion equipment is unqualified, an alarm signal is generated and sent to an alarm module, and the alarm module sends an alarm sound after receiving the alarm signal;
in conclusion, the invention effectively monitors and diagnoses the frequency conversion equipment in time through the state monitoring technology, forecasts the abnormal condition of the equipment in time before the equipment fails, and takes corresponding measures, thereby reducing the loss caused by the failure of the frequency conversion equipment of the industrial electrical equipment to the maximum extent, and ensuring the safety and stability of production.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a safety early warning system for a frequency conversion device of an industrial electrical appliance includes a data acquisition module, a data transmission module, an early warning monitoring module, a storage module, a quality calculation module, an alarm module, an early warning definition module, a data analysis module, and a processor;
the data acquisition module is used for acquiring working data of the frequency conversion equipment during operation and transmitting the acquired working data to the processor through the data transmission module; the data acquisition module is specifically a temperature sensor and a vibration sensor which are arranged on the frequency conversion equipment; the working data comprises temperature data and vibration data of the frequency conversion equipment; the data transmission module is used for transmitting the working data of the frequency conversion equipment to the processor and the early warning monitoring module; the early warning monitoring module is used for monitoring the working data of the frequency conversion equipment in real time;
the processor sends the working data to the data analysis module, the data analysis module is used for analyzing the working data of the frequency conversion equipment, and the analysis process specifically comprises the following steps:
the method comprises the following steps: marking the frequency conversion equipment as u, u =1,2, \8230 \ 8230;, z and z are positive integers; obtaining frequency variations in real timeTemperature data and vibration data of the equipment during operation are marked as temperature value (operation temperature value)
Marking the vibration data as a running vibration value (running vibration value)
x is a positive integer, ti represents a working time point;
step two: dividing the temperature values with the temperature higher than the temperature threshold value into an abnormal set;
dividing the temperature values with the temperature lower than the temperature threshold value into a normal set;
dividing the running vibration values of which the vibration is higher than the vibration threshold value into an abnormal set;
dividing the running vibration values with the vibration lower than the vibration threshold value into a normal set;
step three: carrying out data analysis on the operation temperature value and the operation vibration value in the abnormal set, and calculating to obtain a temperature change mean JWBu and a vibration change mean JZBu of the frequency conversion equipment; the data analysis process is specifically as follows:
step S1: using formulas
Calculating to obtain the temperature change value of the frequency conversion equipment between the time point t1 and the time point t2
By analogy, the time point t of the frequency conversion equipment is obtainedi-1The value of the temperature change from time ti
The time period from the time point T1 to the time point T2 is denoted as T2, and so on, the time point Ti-1The time period to the time point Ti is marked as Ti;
step S2: counting the number of time periods, and dividing the sum of the temperature change values of each time period by the number of the time periods to obtain a temperature change mean JWBu of the frequency conversion equipment;
and step S3: using formulas
Calculating to obtain the vibration change value of the frequency conversion equipment between the time point t1 and the time point t2
By analogy, the time point t of the frequency conversion equipment is obtainedi-1The value of the change in vibration from the time ti
The time period from the time point T1 to the time point T2 is denoted as T2, and so on, the time point Ti-1The time period to the time point Ti is marked as Ti;
and step S4: counting the number of time periods, and dividing the sum of the vibration change values of each time period by the number of the time periods to obtain a vibration change average value JZBu of the frequency conversion equipment;
step four: substituting the temperature change mean value JWBu and the vibration change mean value JZBu into a formula
Calculating to obtain an operation value YXu of the frequency conversion equipment during working; in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both larger than zero, alpha is a compensation coefficient, and alpha is larger than 0;
the data analysis module sends the calculated operation value of the frequency conversion equipment to the early warning definition module; the early warning definition module is used for defining and judging the operation value of the frequency conversion equipment after receiving the operation value of the frequency conversion equipment, and the defining and judging process is as follows:
step SS1: obtaining a temperature change mean JWBu, a vibration change mean JZBu and an operation value YXu of the frequency conversion equipment through calculation; acquiring an operation threshold value Yu corresponding to the frequency conversion equipment in the processor;
step SS2: calculating a difference value between the operation value of the frequency conversion equipment and an operation threshold value to obtain an operation difference value YCu;
and step SS3: using formulas
Calculating to obtain a pre-threshold value YJu (short for early warning limit value, and then replacing the pre-threshold value with the early warning limit value); in the formula, b1, b2 and b3 are all fixed numerical values of proportionality coefficients, and the values of b1, b2 and b3 are all larger than zero;
and step SS4: if X1 is more than YJu and less than or equal to X2, generating a safety early warning signal;
step SS5: if X2 is more than YJu and less than or equal to X3, generating a verification early warning signal;
step SS6: if X3 is less than YJu, generating a monitoring and early warning signal; wherein X1, X2 and X3 are early warning defined threshold values, and X1 is more than 0 and X2 is more than X3;
the early warning definition module feeds back a safety early warning signal, a verification early warning signal and a monitoring early warning signal to the processor; the processor does not perform any operation when receiving the safety early warning signal; the processor sends the verification early warning signal and the monitoring early warning signal to the quality calculation module when receiving the verification early warning signal and the monitoring early warning signal; the processor is also used for sending the monitoring early warning signal to the early warning monitoring module when receiving the monitoring early warning signal;
the quality calculation module is used for calculating the quality of the frequency conversion equipment generating the verification early warning signal and the monitoring early warning signal after receiving the verification early warning signal and the monitoring early warning signal, and the quality calculation steps are as follows:
step P1: acquiring the fault maintenance frequency of the frequency conversion equipment, and marking the fault maintenance frequency as Gu; acquiring the service time of the frequency conversion equipment, and marking the service time as Tu;
specifically, the following are: the calculation of the service life is specifically as follows: the difference value between the production date and the current time in the production of the nameplate on the frequency conversion equipment is obtained;
step P2: calculating to obtain a loss value XHu of the frequency conversion equipment by using a formula XHu = (Gu × c1+ Tu × c 2)/(c 1+ c 2), wherein c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;
step P3: the method comprises the steps that time points are taken as nodes, the temperature and vibration of time-frequency conversion equipment of each node are obtained, and a real-time temperature curve graph and a real-time vibration curve graph of the frequency conversion equipment are obtained by connection according to a time sequence; comparing the real-time temperature curve graph with a preset temperature curve graph to obtain the temperature crossing number WJu of the frequency conversion equipment; comparing the real-time vibration curve graph with a preset vibration curve graph to obtain the vibration crossing number ZJu of the frequency conversion equipment;
specifically, the real-time temperature curve graph is compared with a preset temperature curve graph, a computer online overlapping comparison method can be adopted, the temperature cross number can be obtained by overlapping two groups of curve graphs, and the vibration cross number can also be obtained according to the method in the same way;
and step P4: substituting the loss value XHu, the temperature cross number WJu and the vibration cross number ZJu of the frequency conversion equipment into a formula
Calculating to obtain a quality value ZLU of the frequency conversion equipment; in the formula, d1, d2 and d3 are all proportional coefficient fixed numerical values, the values of d1, d2 and d3 are all larger than zero, e is a natural constant, and beta is a positive number;
step P5: if the quality value is higher than the quality threshold value, judging that the current quality of the frequency conversion equipment is qualified, and not performing any operation; if the quality value is lower than the quality threshold value, judging that the current quality of the frequency conversion equipment is unqualified, and generating an alarm signal;
the quality calculation module sends the alarm signal to the alarm module; the alarm module sends out alarm sound after receiving the alarm signal; the early warning monitoring module also comprises a storage module, the storage module is used for storing preset working data of the frequency conversion equipment, and the preset working data comprises preset temperature data and preset vibration data; the early warning monitoring module is used for monitoring working data of the frequency conversion equipment in real time after monitoring personnel receive monitoring early warning signals through the display terminal;
the safety early warning system further comprises an environment influence monitoring module, the environment influence monitoring module is used for monitoring environment influence factors of the area where the frequency conversion equipment is located, and the monitoring steps are as follows:
step Q1: acquiring the area of the frequency conversion equipment, and marking the area as Quo, o =1,2, \8230, v are positive integers, and o is the number of the area of the frequency conversion equipment; setting a plurality of detection points in the area, and marking the detection points as Quoe, e =1,2, \8230;, n, n are positive integers, and e represents the detection points;
and step Q2: acquiring the environmental humidity corresponding to the detection point, and marking the environmental humidity as SQuoe(ii) a Calculating the average environmental humidity of each detection point to obtain the average environmental humidity PS of the area where the frequency conversion equipment is locatedQuo；
And step Q3: obtaining weather forecast data corresponding to the area where the frequency conversion equipment is located according to the geographical position of the area, obtaining the temperatures of three days after the current time in the weather forecast data, calculating the average temperature of three days, and marking the average temperature as PWQuo；
And step Q4: using formulas
Obtaining and obtaining an environmental impact value H of an area where frequency conversion equipment is locatedQuo(ii) a In the formula, f1 and f2 are both fixed values of proportionality coefficients, and the values of f1 and f2 are both larger than zero;
step Q5: the mean value JWBu of the temperature change and the environmental impact value HQuoSubstituting formula HPu = | JWBu-HQuoCalculating to obtain an environment deviation value HPu of the frequency conversion equipment;
and step Q6: if the environmental deviation value is larger than the set threshold value, the environmental influence monitoring module generates an environmental influence signal;
the environment influence monitoring module sends the environment influence signal to the processor, the processor generates a control instruction after receiving the environment influence signal and loads the control instruction to the alarm module, and the alarm module is used for performing abnormal alarm on the environment of the area where the frequency conversion equipment is located.
When the intelligent temperature monitoring system works, the data acquisition module acquires working data of the frequency conversion equipment during operation, the acquired working data are transmitted to the processor and the early warning monitoring module through the data transmission module, the processor transmits the working data to the data analysis module, and the data analysis module analyzes the working data of the frequency conversion equipment to acquire the operation temperature value of the frequency conversion equipment
And running vibration value
Dividing the temperature value with the temperature higher than the temperature threshold value into an abnormal set, dividing the temperature value with the temperature lower than the temperature threshold value into a normal set, dividing the vibration value with the vibration higher than the vibration threshold value into an abnormal set, dividing the vibration value with the vibration lower than the vibration threshold value into a normal set, carrying out data analysis on the temperature value and the vibration value in the abnormal set, calculating to obtain a temperature change mean value JWBu and a vibration change mean value JZBu of the frequency conversion equipment, substituting the temperature change mean value JWBu and the vibration change mean value JZBu into a formula
Calculating to obtain a running value YXu of the frequency conversion equipment during working;
then the data analysis module sends the calculated running value of the frequency conversion equipment to the early warning definition module, the early warning definition module carries out definition judgment on the running value of the frequency conversion equipment, obtains a running threshold Yu corresponding to the frequency conversion equipment in the processor, calculates the difference value between the running value of the frequency conversion equipment and the running threshold to obtain a running difference value YCu, and utilizes a formula
Calculating to obtain a pre-threshold value YJu of the frequency conversion equipment, comparing the pre-threshold value with an early warning definition threshold value, and correspondingly generating a safety early warning signal, a verification early warning signal and a monitoring early warning signal;
the early warning definition module feeds back a safety early warning signal, a verification early warning signal and a monitoring early warning signal to the processor, the processor does not perform any operation when receiving the safety early warning signal, and sends the verification early warning signal and the monitoring early warning signal to the quality calculation module when receiving the verification early warning signal and the monitoring early warning signal, and meanwhile, the processor also sends the monitoring early warning signal to the early warning monitoring module;
when the quality calculation module receives the verification early warning signal and the monitoring early warning signal, the quality calculation modulePerforming quality calculation on the frequency conversion equipment generating the experimental early warning signal and monitoring the early warning signal, calculating to obtain a loss value XHu of the frequency conversion equipment according to the fault maintenance frequency Gu and the service duration Tu of the frequency conversion equipment and in combination with a formula XHu = (Gu × c1+ Tu × c 2)/(c 1+ c 2), then taking a time point as a node, obtaining the temperature and vibration of the frequency conversion equipment at each node, and connecting according to a time sequence to obtain a real-time temperature curve graph and a real-time vibration curve graph of the frequency conversion equipment; comparing the real-time temperature curve graph with a preset temperature curve graph to obtain the temperature crossing number WJu of the frequency conversion equipment; comparing the real-time vibration curve graph with a preset vibration curve graph to obtain the vibration cross number ZJu of the frequency conversion equipment, and substituting the loss value XHu, the temperature cross number WJu and the vibration cross number ZJu of the frequency conversion equipment into a formula
Calculating to obtain a quality value ZLU of the frequency conversion equipment, and if the quality value is higher than a quality threshold, judging that the current quality of the frequency conversion equipment is qualified and not performing any operation;
if the quality value is lower than the quality threshold value, judging that the current quality of the frequency conversion equipment is unqualified, generating an alarm signal, sending the alarm signal to an alarm module by a quality calculation module, sending an alarm sound by the alarm module after receiving the alarm signal, and simultaneously monitoring working data of the frequency conversion equipment by monitoring personnel in real time through an early warning monitoring module;
the system also monitors the environmental influence factors of the area where the frequency conversion equipment is located through the environmental influence monitoring module to obtain the average environmental humidity PS of the area where the frequency conversion equipment is locatedQuoAnd the average temperature three days after the current time is marked as PWQuoUsing the formula
Obtaining and obtaining an environmental influence value H of an area where frequency conversion equipment is locatedQuoAverage JWBu of temperature change and environmental impact value HQuoSubstituting formula HPu = | JWBu-HQuoIf the environmental deviation value is larger than a set threshold value, an environmental influence monitoring module generates an environmental influence signal and environmental influenceThe monitoring module sends the environment influence signal to the processor, the processor generates a control instruction after receiving the environment influence signal and loads the control instruction to the alarm module, and the alarm module carries out abnormal alarm on the environment of the area where the frequency conversion equipment is located.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. A safety early warning system for industrial electrical appliance frequency conversion equipment is characterized by comprising a data acquisition module, a data transmission module, an early warning monitoring module, a quality calculation module, an alarm module, an early warning definition module, a data analysis module and a processor;
the processor sends the working data to the data analysis module, the data analysis module is used for analyzing the working data of the frequency conversion equipment, and the analysis process specifically comprises the following steps:
the method comprises the following steps: marking the frequency conversion equipment as u, u =1,2, \8230 \ 8230;, z and z are positive integers; acquiring temperature data and vibration data of the frequency conversion equipment during working in real time, and marking the temperature data as a temperature running value
Tagging vibration data as a running vibration value
i =1,2, \8230;, x, x are positive integers, ti represents the time point of operation;
step two: dividing the temperature values with the temperature higher than the temperature threshold value into an abnormal set; dividing the running vibration values of which the vibration is higher than the vibration threshold value into an abnormal set;
step three: carrying out data analysis on the operation temperature value and the operation vibration value in the abnormal set, and calculating to obtain a temperature change mean JWBu and a vibration change mean JZBu of the frequency conversion equipment;
step four: substituting the temperature change mean JWBu and the vibration change mean JZBu into a formula
Calculating to obtain an operation value YXu of the frequency conversion equipment during working; in the formula, a1 and a2 are both proportional coefficient fixed values, the values of a1 and a2 are both larger than zero, alpha is a compensation coefficient, and alpha is larger than 0;
the data analysis module sends the calculated operation value of the frequency conversion equipment to the early warning definition module; the early warning definition module is used for defining and judging the operation value of the frequency conversion equipment after receiving the operation value of the frequency conversion equipment;
the early warning definition module feeds back a safety early warning signal, a verification early warning signal and a monitoring early warning signal to the processor; the processor does not perform any operation when receiving the safety early warning signal; the processor sends the verification early warning signal and the monitoring early warning signal to the quality calculation module when receiving the verification early warning signal and the monitoring early warning signal; the processor is also used for sending the monitoring early warning signal to the early warning monitoring module when receiving the monitoring early warning signal;
the quality calculation module is used for calculating the quality of the frequency conversion equipment generating the verification early warning signal and the monitoring early warning signal after receiving the verification early warning signal and the monitoring early warning signal; the quality calculation module sends an alarm signal to an alarm module; the alarm module sends out an alarm sound after receiving the alarm signal;
the data analysis process is as follows:
step S1: using a formula
Calculating to obtain the temperature change value of the frequency conversion equipment between the time point t1 and the time point t2
By parity of reasoning, the time point t of the frequency conversion equipment is obtainedi-1The value of the temperature change from time ti
The time period from the time point T1 to the time point T2 is denoted as T2, and so on, the time point Ti-1The time period to the time point Ti is marked as Ti;
step S2: counting the number of time periods, and dividing the sum of the temperature change values of each time period by the number of the time periods to obtain a temperature change mean JWBu of the frequency conversion equipment;
and step S3: similarly, the time point t of the frequency conversion equipment is obtained through calculationi-1The value of the change in vibration from the time ti
The definition judgment process of the early warning definition module is as follows:
step SS1: obtaining a temperature change mean value JWBu, a vibration change mean value JZBu and a running value YXu of the frequency conversion equipment through calculation; acquiring an operation threshold value Yu corresponding to the frequency conversion equipment in the processor;
step SS2: calculating a difference value between the operation value of the frequency conversion equipment and the operation threshold value to obtain an operation difference value YCu;
and step SS3: using formulas
Calculating to obtain a pre-critical value YJu of the frequency conversion equipment; in the formula, b1, b2 and b3 are all fixed numerical values of proportionality coefficients, and the values of b1, b2 and b3 are all larger than zero;
and step SS4: if X1 is more than YJu and less than or equal to X2, generating a safety early warning signal;
and step SS5: if X2 is more than YJu and less than or equal to X3, generating a verification early warning signal;
step SS6: if X3 is less than YJu, generating a monitoring and early warning signal; wherein X1, X2 and X3 are early warning defined threshold values, and X1 is more than 0 and X2 is more than X3;
the mass calculation module specifically comprises the following steps:
step P1: acquiring the fault maintenance frequency of the frequency conversion equipment, and marking the fault maintenance frequency as Gu; acquiring the service time of the frequency conversion equipment, and marking the service time as Tu;
and step P2: calculating to obtain a loss value XHu of the frequency conversion equipment by using a formula XHu = (Gu × c1+ Tu × c 2)/(c 1+ c 2), wherein c1 and c2 are both fixed values of proportionality coefficients, and the values of c1 and c2 are both greater than zero;
and step P3: the method comprises the steps that time points serve as nodes, the temperature and vibration of the frequency conversion equipment at each node are obtained, and a real-time temperature curve graph and a real-time vibration curve graph of the frequency conversion equipment are obtained through connection according to a time sequence; comparing the real-time temperature curve graph with a preset temperature curve graph to obtain the temperature crossing number WJu of the frequency conversion equipment; comparing the real-time vibration curve graph with a preset vibration curve graph to obtain the vibration crossing number ZJu of the frequency conversion equipment;
step P4: substituting the loss value XHu, the temperature cross number WJu and the vibration cross number ZJu of the frequency conversion equipment into a formula
Calculating to obtain a quality value ZLU of the frequency conversion equipment; in the formula, d1, d2 and d3 are all fixed numerical values of proportionality coefficients, the values of d1, d2 and d3 are all larger than zero, e is a natural constant, and beta is a positive number;
step P5: if the quality value is higher than the quality threshold value, judging that the current quality of the frequency conversion equipment is qualified, and not performing any operation; if the quality value is lower than the quality threshold value, judging that the current quality of the frequency conversion equipment is unqualified, and generating an alarm signal;
the safety early warning system further comprises an environment influence monitoring module, wherein the environment influence monitoring module is used for monitoring environment influence factors of the area where the frequency conversion equipment is located, and the monitoring steps are as follows:
step Q1: acquiring the area of the frequency conversion equipment, and marking the area as Quo, o =1,2, \8230, v are positive integers, and o is the number of the area of the frequency conversion equipment; setting a plurality of detection points in the area, and marking the detection points as Quoe, e =1,2, \8230, 8230, n and n are positive integers, and e represents the detection points;
and step Q2: acquiring the environmental humidity corresponding to the detection point, and marking the environmental humidity as SQuoe(ii) a Calculating the average environmental humidity of each detection point to obtain the average environmental humidity PS of the area where the frequency conversion equipment is locatedQuo；
And step Q3: obtaining weather forecast data corresponding to the area where the frequency conversion equipment is located according to the geographical position of the area, obtaining the temperatures of three days after the current time in the weather forecast data, calculating the average temperature of three days, and marking the average temperature as PWQuo；
Step Q4: using a formula
Obtaining and obtaining an environmental influence value H of an area where frequency conversion equipment is locatedQuo(ii) a In the formula, f1 and f2 are both fixed numerical values of proportionality coefficients, and the values of f1 and f2 are both larger than zero;
step Q5: the mean value JWBu of the temperature change and the environmental impact value HQuoSubstituting formula HPu = | JWBu-HQuoCalculating to obtain an environment deviation value HPu of the frequency conversion equipment;
step Q6: if the environmental deviation value is larger than the set threshold value, the environmental influence monitoring module generates an environmental influence signal;
the environment influence monitoring module sends the environment influence signal to the processor, the processor generates a control instruction after receiving the environment influence signal and loads the control instruction to the alarm module, and the alarm module is used for performing abnormal alarm on the environment of the area where the frequency conversion equipment is located.
2. The safety early warning system for the frequency conversion equipment of the industrial electrical appliance according to claim 1, characterized in that the data acquisition module is used for acquiring working data of the frequency conversion equipment during operation and transmitting the acquired working data to the processor through the data transmission module; the data transmission module is used for transmitting the working data of the frequency conversion equipment to the processor and the early warning monitoring module; and the early warning monitoring module is used for monitoring the working data of the frequency conversion equipment in real time.
3. The safety precaution system for industrial electric appliance frequency conversion equipment of claim 2, characterized in that the working data includes temperature data and vibration data of the frequency conversion equipment.
4. The safety early warning system for the frequency conversion equipment of the industrial electric appliance according to claim 1, wherein the early warning monitoring module further comprises a storage module, the storage module is used for storing preset working data of the frequency conversion equipment, and the preset working data comprises preset temperature data and preset vibration data; the early warning monitoring module is used for monitoring working data of the frequency conversion equipment in real time after monitoring personnel receive the monitoring early warning signal through the display terminal.
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